ISBN:
9783031262814
Language:
English
Pages:
1 Online-Ressource(XIII, 523 p. 221 illus., 150 illus. in color.)
Edition:
1st ed. 2023.
Series Statement:
Lecture Notes on Data Engineering and Communications Technologies 161
Parallel Title:
Erscheint auch als
Parallel Title:
Erscheint auch als
Keywords:
Engineering—Data processing.
;
Computational intelligence.
;
Big data.
;
Engineering
Abstract:
Data Integration in Practice: Academic Finance Analytics Case Study -- Proposal of an Aquarium Design Support Virtual Reality System -- The Source Code Maintenance Time Classifications from Code Smell -- Evolution Analysis of R&D Jobs Based on Patents’ Technology Efficacy Labeling -- The Model of Improving the Quality of Government Financial Reporting -- Fuzzy Mean Clustering Analysis Based on Glutamic Acid Fermentation Failure -- Mustahik Micro Business Incubation in Poverty Alleviation -- Schemes for a Transient Eddy-current Problem On an Unbounded Area -- Zakat Management Model Based on ICT -- Teaching Method of Advanced Mathematics combining PAD Classroom with ADDIE Model -- A Kind of Online Game Addictive Treatment Model about Young Person -- Research on E-commerce Customer Value Segmentation Model Based on Network Behavior -- Blockchain Applications for Mobility-as-a-Service Ecosystem: A Survey -- Construction of a Fully Homomorphic Encryption Scheme with Shorter Ciphertext and its Implementation on the CUDA Platform -- Traffic-oriented Shellcode Detection Based on VSM -- Supply Chain Finance Mediates The Effect of Trust and Commitment on Supply Chain Effectiveness.
Abstract:
This book presents original contributions to the theories and practices of emerging Internet, data, and web technologies and their applicability in businesses, engineering, and academia. Internet has become the most proliferative platform for emerging large-scale computing paradigms. Among these, data and web technologies are two most prominent paradigms, in a variety of forms such as data centers, cloud computing, mobile cloud, mobile web services, and so on. These technologies altogether create a digital ecosystem whose corner stone is the data cycle, from capturing to processing, analysis, and visualization. The investigation of various research and development issues in this digital ecosystem is boosted by the ever-increasing needs of real-life applications, which are based on storing and processing large amounts of data. As a key feature, it addresses advances in the life-cycle exploitation of data generated from the digital ecosystem data technologies that create value for the knowledge and businesses toward a collective intelligence approach. Researchers, software developers, practitioners, and students interested in the field of data and web technologies find this book useful and a reference for their activity.
DOI:
10.1007/978-3-031-26281-4
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